期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Thermal Behavior of a LFP Battery for Residential Applications:Development of a Multi-Physical Numerical Model
1
作者 Michela Costa Adolfo Palombo +1 位作者 Andrea Ricci Ugo Sorge 《Energy Engineering》 2025年第5期1629-1643,共15页
Effective thermal management is paramount for successfully deploying lithium-ion batteries in residential settings as storage systems for the exploitation of renewable sources.Uncontrolled temperature increases within... Effective thermal management is paramount for successfully deploying lithium-ion batteries in residential settings as storage systems for the exploitation of renewable sources.Uncontrolled temperature increases within battery packs can lead to critical issues such as cell overheating,potentially culminating in thermal runaway events and,in extreme cases,leading to fire or explosions.Thiswork presents a comprehensive numerical thermalmodel of a battery pack made of prototype pouch cells based on lithium ferrophosphate(LFP)chemistry.The multi-physical model is specifically developed to investigate real-world operating scenarios and to assess safety considerations.The considered energy storage system is a battery designed for residential applications,in its integration with a photovoltaic(PV)installation.The actual electrochemical behavior of the prototype cell during the charging and discharging processes is modeled and validated on the ground of experimental data.The essential steps leading to the numerical schematization of the battery pack are then presented to apply themodel to two different use scenarios,differing for the user loads.The first scenario corresponds to a typical residential load,with standby lights being active during the night,solar generation with its peak at noon,and appliance use shifting in the afternoon and the evening.In the second scenario,a double demand for energy is present thatmakes the battery never reach 100%of the State of Charge(SoC)and dischargemore rapidly with respect to what occurs under the first scenario.Comparing the simulated temperature with the assumed C-rate,namely the charge or discharge current divided by the battery nominal capacity,it is found that peaks coincide with the charging phase;subsequently,the current tends to a zero value,and consequently,the temperature suddenly reaches the value of the environment.Finally,the model is also utilized to simulate a condition of thermal runaway by introducing critical conditions within a specific pouch cell.In this simulation,the thermal exchange between the cell in thermal runaway and the rest of the system remains within acceptable limits.This occurs due to the short duration of the process and to the module casing coated with an insulating material.The work provides an essential foundation for conducting numerical simulations of battery packs operating also at higher power levels. 展开更多
关键词 Lithium iron phosphate battery thermal management residential storage PV installation
在线阅读 下载PDF
用自组织图方法选择电动车电池堆的锂电池(英文) 被引量:8
2
作者 Paolo Raspa Leonardo Frinconi +5 位作者 Adriano Mancini Matteo Cavalletti Sauro Longhi Luca Fulimeni Paolo Bellesi Roberto Isidori 《汽车安全与节能学报》 CAS 2011年第2期157-164,共8页
电动车储存系统的一个挑战性问题是如何有效使用多层锂电池。由于产品的限制,在使用中会使电池不平衡,从而降低了电池堆的可用电量。为了生成均匀的电池堆,运用自组织图神经网络方法(SOM),开发了一种对于同源电池的选择与分类的方法。在... 电动车储存系统的一个挑战性问题是如何有效使用多层锂电池。由于产品的限制,在使用中会使电池不平衡,从而降低了电池堆的可用电量。为了生成均匀的电池堆,运用自组织图神经网络方法(SOM),开发了一种对于同源电池的选择与分类的方法。在FAAM的实验室中,搜集了测试过的LiFePO4电池的实验数据。选择中考虑的实验数据和辨识特征有:放电电压、开路电压、总容量,以及Randle等效电路模式得来的辨识参数。以每一组备选电池的充电状态(SOV)作为聚群判据,以便找到能给出电池均匀性最好结果的方法。模拟中考察了实验的电动车负荷剖面。结果表明:相比于随机的选择,在电池堆平衡的条件下,本文选用的所有方法都能使SOV变量大幅降低。基于容量和放电电压的方法给出了其中的最佳结果。 展开更多
关键词 电动车 电池选择 聚群 锂电池分类 自组织图(SOM) 神经网络方法
在线阅读 下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部